Specifically, we follow the pipeline of recent approaches on face recognition [1]} and person re-id [2]}. For re-id, the model is trained and evaluated on Market-
1501 [3]} where some validation images only contain a small part of a person.
Although the model is trained with Euclidean distance without L2 normalization, cosine similarity still works well as the evaluation metric. For face recognition, we take the trained model on CASIA-WebFace [4]} and evaluate it on FIW [5]} where the face identification and kinship relationship are available.
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